17 citations · 28 across the 7 of their papers we have counts for
10 papers
Investigations on Speech Recognition Systems for Low-Resource Dialectal Arabic-English Code-Switching Speech
Injy Hamed, Pavel Denisov, Chia-Yu Li +3
Code-switching (CS), defined as the mixing of languages in conversations, has become a worldwide phenomenon. The prevalence of CS has been recently met with a growing demand and in…
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer
Mohamed S. Elmahdy, Laurens Beljaards, Sahar Yousefi +4
Medical image registration and segmentation are two of the most frequent tasks in medical image analysis. As these tasks are complementary and correlated, it would be beneficial to…
Esophageal Tumor Segmentation in CT Images using Dilated Dense Attention Unet (DDAUnet)
Sahar Yousefi, Hessam Sokooti, Mohamed S. Elmahdy +5
Manual or automatic delineation of the esophageal tumor in CT images is known to be very challenging. This is due to the low contrast between the tumor and adjacent tissues, the an…
A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive Radiotherapy
Laurens Beljaards, Mohamed S. Elmahdy, Fons Verbeek +1
Recently, joint registration and segmentation has been formulated in a deep learning setting, by the definition of joint loss functions. In this work, we investigate joining these…
An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction
Nicola Pezzotti, Sahar Yousefi, Mohamed S. Elmahdy +9
Adaptive intelligence aims at empowering machine learning techniques with the additional use of domain knowledge. In this work, we present the application of adaptive intelligence…
Patient-Specific Finetuning of Deep Learning Models for Adaptive Radiotherapy in Prostate CT
Mohamed S. Elmahdy, Tanuj Ahuja, U. A. van der Heide +1
Contouring of the target volume and Organs-At-Risk (OARs) is a crucial step in radiotherapy treatment planning. In an adaptive radiotherapy setting, updated contours need to be gen…